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Behavior of business investment in the USA under variable and proportional rates of replacement

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  • George C. Bitros

    (Athens University of Economics and Business)

  • M. Ishaq Nadiri

    (Athens University of Economics and Business)

Abstract

Using data from the U. S. Bureau of Economic Analysis for the period 1947-2015, we test two investment models of neoclassical decent. Model A is based on the conceptualization that business firms have an active replacement investment policy, which renders the replacement rate d a determinant of business investment behavior r, whereas Model B is based on the traditional hypothesis that replacement investment is an engineering proportion of the capital stock, thus turning d into a constant. The evidence that emerges from the estimations is heavily in favor of Model A on at least three grounds. Namely, first it establishes that the replacement rate is a decisive determinant of in - vestment at all levels of aggregation; Second, it leads to estimates of investment equations with succinct short run and long run dynamics, thus facilitating policy applications; and thirdly, it gives rise to remarkably robust estimates of the elasticities of substitution of capital for labor, output and the replacement rate. When Model B is estimated for the period 1947-1960, it performs as expected, most likely because in short periods d remains fairly constant due to long swings in re placement investment.

Suggested Citation

  • George C. Bitros & M. Ishaq Nadiri, 2017. "Behavior of business investment in the USA under variable and proportional rates of replacement," Working Papers 201708, Athens University Of Economics and Business, Department of Economics.
  • Handle: RePEc:aeb:wpaper:201708:y:2017
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    References listed on IDEAS

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    1. Hall, Peter & Yao, Qiwei, 2003. "Inference in ARCH and GARCH models with heavy-tailed errors," LSE Research Online Documents on Economics 5875, London School of Economics and Political Science, LSE Library.
    2. Eisner, Robert & Nadiri, M Ishaq, 1970. "Neoclassical Theory of Investment Behavior: A Comment," The Review of Economics and Statistics, MIT Press, vol. 52(2), pages 216-222, May.
    3. Lynne Cockerell & Steven Pennings, 2007. "Private Business Investment in Australia," RBA Research Discussion Papers rdp2007-09, Reserve Bank of Australia.
    4. Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2016. "Nonstationary GARCH with t-distributed innovations," Economics Letters, Elsevier, vol. 138(C), pages 19-21.
    5. Peter Hall & Qiwei Yao, 2003. "Inference in Arch and Garch Models with Heavy--Tailed Errors," Econometrica, Econometric Society, vol. 71(1), pages 285-317, January.
    6. Jorgenson, Dale W & Stephenson, James A, 1969. "Issues in the Development of the Neoclassical Theory of Investment Behavior," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 346-353, August.
    7. Jianqing Fan & Lei Qi & Dacheng Xiu, 2014. "Quasi-Maximum Likelihood Estimation of GARCH Models With Heavy-Tailed Likelihoods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 178-191, April.
    8. Paul Zarembka, 1975. "Capital Heterogeneity, Aggregation, and the Two-Sector Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 89(1), pages 103-114.
    9. Christian Francq & Jean‐Michel Zakoïan, 2012. "Strict Stationarity Testing and Estimation of Explosive and Stationary Generalized Autoregressive Conditional Heteroscedasticity Models," Econometrica, Econometric Society, vol. 80(2), pages 821-861, March.
    10. Brown, Murray & Chang, Winston W, 1976. "Capital Aggregation in a General Equilibrium Model of Production," Econometrica, Econometric Society, vol. 44(6), pages 1179-1200, November.
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    Cited by:

    1. Bitros, George C., 2019. "Potential output, capital input and U.S. economic growth," MPRA Paper 94141, University Library of Munich, Germany.
    2. Chien-Chiang Lee & Chun-Wei Lin & Chi-Chuan Lee, 0. "The impact of peer effects and economic policy-related uncertainty on U.S. life insurers' investment decisions," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 0, pages 1-31.
    3. Chien-Chiang Lee & Chun-Wei Lin & Chi-Chuan Lee, 2021. "The impact of peer effects and economic policy-related uncertainty on U.S. life insurers' investment decisions," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 22-52, January.

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    More about this item

    Keywords

    Neoclassical models of business investment; elasticities of substitution and output; modes of replacement investment.;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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